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DEEP RESEARCH AGENT
AutoGLM Rumination is the latest Deep Research AI Agent released by Zhipu AI. Built upon Zhipu AI GLM-Z1-Rumination foundational reasoning models, AutoGLM Rumination can help increase the research ability by thinking and researching at the same time. AutoGLM has the ability to do the tools using and self-reflection. Its capabilities are further enhanced with Reinforcement Learning. AutoGLM 沉思
Perplexity AI is an AI-driven search engine and conversational platform that provides precise, real-time answers to complex questions by leveraging advanced natural language processing and large language models. It aims to revolutionize the way users access and interact with information by offering a more intuitive and efficient search experience. Introduction Perplexity AI, founded in 2022, is a
OpenAI's Deep Research is an advanced AI agent integrated into ChatGPT, designed to autonomously conduct comprehensive, multi-step research tasks on the internet. Introduction Deep Research leverages OpenAI's latest o3 model to perform in-depth analysis by autonomously browsing and synthesizing information from diverse online sources. It is capable of interpreting and analyzing vast amounts of tex
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models.
Save hours of work with Deep Research as your personal research assistantNow powered by Gemini 2.0 Flash Thinking (experimental) Get up to speed on just about anything with Deep Research, an agentic feature in Gemini that can automatically browse up to hundreds of websites on your behalf, think through its findings, and create insightful multi-page, reports in minutes. Deep Research transforms you
AI AGENT
# Exposure:A White-Box Photo Post-Processing Framework #### ACM Transactions on Graphics (presented at SIGGRAPH 2018) 1,2, 1,2, Chenxi Xu1,3, 1, 1 #### ] ] ] ] 1Microsoft Research 2MIT CSAIL 3Peking University **Change log:** - July 9, 2018: Minor improvements. - May 20, 2018: Inlcuded user study UI. - May 13, 2018: Minor improvements. - March 30, 2018: Added instructions for preparing t
# BackdoorBox: An Open-sourced Python Toolbox for Backdoor Attacks and Defenses Backdoor attacks are emerging yet critical threats in the training process of deep neural networks (DNNs), where the adversary intends to embed specific hidden backdoor into the models. The attacked DNNs will behave normally in predicting benign samples, whereas the predictions will be maliciously changed wheneve
# Tensor2Robot This repository contains distributed machine learning and reinforcement learning infrastructure. It is used internally at Alphabet, and open-sourced with the intention of making research at Robotics @ Google more reproducible for the broader robotics and computer vision communities. ## Projects and Publications Using Tensor2Robot - - - - ## Features Tensor2Robot (
️ VLM Nodes Examples below • Visit my other repo to learn more about Vision Language Models ## Usage - For **Windows** and **Linux** \`\`\` cd custom_nodes git clone https://github.com/gokayfem/ComfyUI_VLM_nodes.git \`\`\` ## Acknowledgements - - **If you get errors related to llama-cpp-python or if it is not using GPU.** **I recommend installing it with the rig
# WavCraft ](https://arxiv.org/abs/2403.09527) ](https://first-riddle-7e9.notion.site/WavCraft-Demo-40c079fc82ca411ca0520b9d65abd3f5) Generate and edit the audio with a simple sentence. This repo currently support: * text-guided audio editing: edit the content of given audio clip(s) conditioned on text input * text-guided audio generation: create an audio clip given text input * audio scrip
](https://lgtm.com/projects/g/medipixel/rl_algorithms/context:python) ](https://opensource.org/licenses/MIT) ](https://github.com/psf/black) ](#contributors-) ## Contents * * * * * * * ## Welcome! This repository contains Reinforcement Learning algorithms which are being used for research activities at Medipixel. The source code will be frequently updated. We are warmly welcoming
# ### Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math ## About the book With significant enhancement in the quality and quantity of algorithms in recent years, this second edition of Hands-On Reinforcement Learning with Python has been completely revamped into an example-rich guide to learning state-of-the-art rein
# Huskarl ](https://badge.fury.io/py/huskarl) Huskarl is a framework for deep reinforcement learning focused on modularity and fast prototyping. It's built on TensorFlow 2.0 and uses the \`tf.keras\` API when possible for conciseness and readability. Huskarl makes it easy to parallelize computation of environment dynamics across multiple CPU cores. This is useful for speeding up on-policy lear
# DrQ-v2: Improved Data-Augmented RL Agent This is an original PyTorch implementation of DrQ-v2 from [[Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning]](https://arxiv.org/abs/2107.09645) by , , , and . ## Method DrQ-v2 is a model-free off-policy algorithm for image-based continuous control. DrQ-v2 builds on , an actor-crit
# Deep CFR & Single Deep CFR A scalable implementation of [1] and its successor [2] in the framework. This codebase is designed for: - Researchers to compare new methods to these baselines. - Anyone wanting to learn about Deep RL in imperfect information games. This implementation seamlessly be runs on your local machine and on hundreds of cores on AWS. ### Reproducing Results from Single De
# CleverBee: AI-Powered Online Data Information Synthesis Assistant Website • Documentation • GitHub --- CleverBee is a powerful Python-based research assistant agent using Large Language Models (LLMs) like Claude and Gemini, Playwright for web browsing, and Chainlit for an interactive UI. It performs research assistance by browsing the web, extracting content (HTML), clea
# VN-MADDPG This is the source code for our paper: **基于多智能体深度强化学习的车联网通信资源分配优化**. A brief introduction of this work is as follows: > 无线网络的高速发展为车联网提供了更好的支持，但是如何为高速移动车辆提供更高质量的服务仍然是一个挑战.通过分析多个车对车（Vehicle-to-Vehicle， V2V）链路重用的车对基础设施（Vehicle-to-Infrastructure， V2I）链路占用的频谱，研究了基于连续动作空间的多智能体深度强化学习的车联网中的频谱共享问题.车辆高移动性带来的信道的快速变化为集中式管理网络资源带来了局限性，因此将资源共享建模为多智能体深度强化学习问题，提出一种基于分布式执行的多智能体深度确定性策略梯度（Multi-Agent De
A lightweight python-based interface connecting learning agents with interactive fiction games. ## Requirements ***Linux***, ***Python 3.9+***, ***Spacy***, and basic build tools like ***gcc***,***make*** & ***curl***. ## Install \`\`\`bash conda create -n jericho python=3 conda activate jericho python -m pip install jericho python -m
# Soft-Actor-Critic-and-Extensions PyTorch implementation of **Soft-Actor-Critic** with the Extensions **PER** + **ERE** + **Munchausen RL** and the option for Multi-Environments for parallel data collection and faster training. _____________ This repository includes the newest Soft-Actor-Critic version () as well as extensions for SAC: - **P**rioritized **E**xperience **R**eplay () - **E**mphasiz
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大家在使用可灵AI生成视频的时候遇到了哪些好的体验和有问题的体验？请务必写明prompt输入文本和视频截图or短视频clip
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大家在使用抖音的即梦AI生成视频的时候遇到了哪些好的体验和有问题的体验？请务必写明prompt输入文本和视频截图or短视频clip
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大家在使用快手(Kuaishou Kwai)短视频的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用小红书(Xiaohongshu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用微信(WeChat)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用微信(WeChat)APP的AI问答功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用知乎(Zhihu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用京东(JD)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用淘宝(Taobao)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用支付宝(Alipay)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用拼多多(PPD Temu)APP的搜索推荐Search and Recommendation 功能的时候遇到了哪些好的体验和有问题的体验？请麻烦写明复现条件，比如prompt输入文本，上传截图。
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大家在使用知乎直答(Zhihu)AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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大家在使用知乎直答(Zhihu)AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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大家在使用快手(Kuaishou)的AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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大家在使用抖音(Douyin Tiktok)的AI搜索功能的时候，遇到了哪些好的体验和有问题的体验？请麻烦写一下当时输入的条件，比如prompt输入文本，或者是上传截图。
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We are witnessing great success in recent development of generative Artificial Intelligence in many fields, such as AI assistant, Chatbot, AI Writer. Among all the AI native products, AI Search Engine such as Perplexity, Gemini and SearchGPT are most attrative to website owners, bloggers and web content publishers. AI Search Engine is a new tool to provide answers directly to users' questions (queries). In this blog, we will give some brief introduction to basic concepts of AI Search Engine, including Large Language Models (LLM), Retrieval-Augmented Generation(RAG), Citations and Sources. Then we will highlight some majors differences between traditional Search Engine Optimization (SEO) and Generative Engine Optimization(GEO). And then we will cover some latest research and strategies to help website owners or content publishers to better optimize their content in Generative AI Search Engines.
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We are seeing more applications of robotaxi and self-driving vehicles worldwide. Many large companies such as Waymo, Tesla and Baidu are accelerating their speed of robotaxi deployment in multiple cities. Some human drivers especially cab drivers worry that they will lose their jobs due to AI. They argue that the lower operating cost and AI can work technically 24 hours a day without any rest like human will have more competing advantage than humans. What do you think?